Python Programming & Exploratory Data Analysis (EDA)
By the end of this course, participants will be able to write Python programs, manipulate data using NumPy and Pandas, perform data cleaning and exploratory data analysis (EDA), create visualizations, and prepare datasets for real-world projects.
What you'll master in Level 1
By the end of this course, participants will be able to write Python programs, manipulate data using NumPy and Pandas, perform data cleaning and exploratory data analysis (EDA), create visualizations, and prepare datasets for real-world projects.
Training Objectives & Core Deliverables
Build a strong foundation in Python programming.
Work with Python data structures, functions, and files.
Read and manipulate CSV and JSON datasets.
Use NumPy and Pandas for data processing.
Perform Exploratory Data Analysis (EDA) on real-world datasets.
Create visualizations to identify patterns and insights.
Prepare datasets for Machine Learning.
Day-by-Day Training Schedule & Live Labs
Python Fundamentals
Employee salary calculator and decision-making programs using loops and conditions.
Python Collections & Functions
Text processing utility and reusable Python functions for data manipulation.
File Handling & Data Processing
Load and process customer and employee datasets using Pandas.
Exploratory Data Analysis (EDA)
Clean and analyze a retail sales dataset using Pandas.
Data Visualization & AI-Ready Dataset
Perform complete EDA on a business dataset and generate visual insights.
Detailed Module-wise Curriculum
String manipulation
Lists, tuples, dictionaries, and sets
List comprehensions
Functions and parameters
Lambda functions
Modules and importing libraries
Reading and writing files
CSV and JSON processing
Exception handling
NumPy arrays and operations
Pandas Series and DataFrames
Importing datasets
Understanding dataset structure
Inspecting data (head, info, describe)
Missing value handling
Duplicate detection and removal
Filtering and sorting
Grouping and aggregation
Creating derived columns
Introduction to Matplotlib
Introduction to Seaborn
Histograms, bar charts, scatter plots, line charts, box plots
Correlation matrix and heatmaps
Identifying trends, distributions, and outliers
Exporting cleaned datasets for Machine Learning
Certificate of Technical Competency — Python Programming & Exploratory Data Analysis (EDA)
Complete all live hands-on labs to earn this verifiable competency badge. This credential unlocks progression to Intermediate Python Programming & Data Applications.
Enroll in Python Programming & Exploratory Data Analysis (EDA)
Reserve your seat for upcoming live batches, syllabus consultation & fee structure.Frequently Asked Questions
Frequently Asked Questions: Python Programming – Beginner, Intermediate & Advanced
Find clear answers to common questions about our live interactive classes, cohort schedules, project mentoring, and career assistance.
The Intermediate track covers advanced NumPy/Pandas, OOP design, and SQL database programming. The Advanced track covers FastAPI, asynchronous programming with asyncio, PyTest unit testing, and Docker containerization.
Yes. You will learn SQL database connectivity and query execution, consume REST APIs, and build high-performance REST APIs with FastAPI and Docker containerization.
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